Toward memory scalability of GYSELA code for extreme scale computers

Abstract : Gyrokinetic simulations lead to huge computational needs. Up to now, the Semi-Lagrangian code GYSELA performed large simulations using up to 65k cores. To understand more accurately the nature of plasma turbulence, finer resolutions are necessary, which make GYSELA a good candidate to exploit the computational power of future extreme scale machines. Among the Exascale challenges, the less memory per core is one of the most critical issues. This paper deals with memory management in order to reduce the memory peak and presents a general method to understand the memory behavior of an application when dealing with very large meshes. This enables us to extrapolate the behavior of GYSELA for expected capabilities of extreme scale machines.
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Fabien Rozar, Guillaume Latu, Jean Roman, Virginie Grandgirard. Toward memory scalability of GYSELA code for extreme scale computers. Concurrency and Computation: Practice and Experience, Wiley, 2014, Special issue for PPAM2013 Conference, 27 (4), pp.994-1009. ⟨10.1002/cpe.3429⟩. ⟨hal-01111720⟩

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